Computer Vision Analysis of Image Motion by Variational Methods is popular PDF and ePub book, written by Amar Mitiche in 2013-09-05, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Computer Vision Analysis of Image Motion by Variational Methods can be Read Online from any device for your convenience.
Computer Vision Analysis of Image Motion by Variational Methods Book PDF Summary
This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective function or functional. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables. The book addresses the four core subjects of motion analysis: Motion estimation, detection, tracking, and three-dimensional interpretation. Each topic is covered in a dedicated chapter. The presentation is prefaced by an introductory chapter which discusses the purpose of motion analysis. Further, a chapter is included which gives the basic tools and formulae related to curvature, Euler Lagrange equations, unconstrained descent optimization, and level sets, that the variational image motion processing methods use repeatedly in the book.
Detail Book of Computer Vision Analysis of Image Motion by Variational Methods PDF
- Author : Amar Mitiche
- Release : 05 September 2013
- Publisher : Springer Science & Business Media
- ISBN : 9783319007113
- Genre : Technology & Engineering
- Total Page : 212 pages
- Language : English
- PDF File Size : 21,7 Mb
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